Introduction
Cellular function is critically dependent on the chemical interplay with the surrounding medium. The most basic characterisation of this surrounding medium is through its intensive thermodynamic variables that, at any moment, strive towards the same values outside and inside the cell. For variables related to solute concentrations, full equilibrium with the surrounding is typically never reached because the cell membrane continuously acts to separate the inside- and outside conditions to control various life processes, for example, energy transduction and selective transport of ions and other solutes. For certain other variables, however, equilibrium across the membrane is reached in relatively short timescales. The most important of these are the temperature (T) and the chemical potential of water $ ({\mu}_{{\mathrm{H}}_2\mathrm{O}} $ ).
Although heat conduction is somewhat slower across a lipid membrane than in the aqueous medium, the metabolic processes can only create small temperature gradients. Similarly, diffusion of water is somewhat hindered by the cell membrane, but the permeability remains large enough to yield equilibrium with the outside medium except for situations requiring large and rapid flows of water (Agre, Reference Agre2006).
Because the surrounding T and $ {\mu}_{{\mathrm{H}}_2\mathrm{O}} $ often vary, the cells must somehow respond and adapt. Current organisms display a series of strategies to handle this situation, depending on their evolutionary history, morphology and preferred habitats. The most direct exposure to the environment is experienced by single-cell organisms (Fig. 1). With respect to T, these cells are bound to follow the surrounding, so that they can only maintain optimal function in relatively narrow temperature ranges. Even so, some single-cell organisms have specialised by adapting their optimum temperature range to a given habitat, including the extremes of close to the freeze- and boiling points of water (Georlette et al., Reference Georlette, Damien, Blaise, Depiereux, Uversky, Gerday and Feller2003). Alteration of the intracellular water chemical potential, $ {\mu}_{{\mathrm{H}}_2\mathrm{O}}^{\mathrm{cell}} $ , on the other hand, seems less tolerable. The reason is likely that the value of $ {\mu}_{{\mathrm{H}}_2\mathrm{O}}^{\mathrm{cell}} $ is determined by the cytosolic composition, and to assure competitive function this needs to be kept within certain boundaries (Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020). Single-cell organisms have thus developed various stress responses to maintain their function relatively independent of variations in the external water chemical potential $ ({\mu}_{{\mathrm{H}}_2\mathrm{O}}^{\operatorname{ext}.} $ ). These responses include passive exchange of electrolytes, active synthesis of compatible osmolytes, and adaptation of the cell wall to withstand considerable ‘hydrostatic’ pressures (Wood, Reference Wood2011; Bremer and Kramer, Reference Bremer and Kramer2019). In general, however, optimal growth tends to occur at $ {\mu}_{{\mathrm{H}}_2\mathrm{O}}^{\operatorname{ext}.} $ around that of physiological saline, that is, 150 mM NaCl (Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020). On the opposite side of the morphologic spectrum are the multicellular organisms that generate their own internal conditions by protecting their cells within a water-impermeable skin and thermally isolating fur or feathers (Fig. 1). Mammals and birds provide the prime example of this strategy, with a strictly regulated body temperature that varies between 32 and 43°C across species (Clarke and Rothery, Reference Clarke and Rothery2008). Mammals and birds maintain also a strictly regulated value of $ {\mu}_{{\mathrm{H}}_2\mathrm{O}}^{\mathrm{cell}} $ , as apparent to anyone that has suffered thirst. As for the single-cell organisms, the value of $ {\mu}_{{\mathrm{H}}_2\mathrm{O}}^{\mathrm{cell}} $ matches that of 0.15 M NaCl buffer at around 0.3 osmol (Atkins, Reference Atkins1917). These constant target values for the internal temperature and $ {\mu}_{{\mathrm{H}}_2\mathrm{O}}^{\mathrm{cell}} $ make the warm-blooded animals not only less sensitive to environmental variations, but also allow them to successfully function in extreme cold where single-cell organisms are bound to be stalled. A striking feature of this organism comparison is that the optimal temperature shows considerable variation, whereas the preferred $ {\mu}_{{\mathrm{H}}_2\mathrm{O}}^{\mathrm{cell}} $ seems relatively uniform at a value corresponding to 0.15 M NaCl or 0.3 osmol. This value applies also to the majority of multicellular organisms with body temperatures similar to the surrounding, that is, the ectotherms, including reptiles, amphibians, bone- and cartilaginous-fish, arthropods, worms and molluscs. It is thus reasonable to assume that the uniform $ {\mu}_{{\mathrm{H}}_2\mathrm{O}}^{\mathrm{cell}} $ across evolutionary divergent organisms reflect narrow functional constraints (Record et al., Reference Record, Zhang and Anderson1998; Wood, Reference Wood1999; Bolen and Baskakov, Reference Bolen and Baskakov2001; Wood, Reference Wood2011; van den Berg et al., Reference van den Berg, Boersma and Poolman2017). However, it is more difficult to see what these constraints are, and how they yield an optimal $ {\mu}_{{\mathrm{H}}_2\mathrm{O}}^{\mathrm{cell}} $ corresponding to that of physiological saline (Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020). To shed light on this problem, we discuss here the relation between cell metabolism and water chemical potential from a physicochemical standpoint. Our approach is to first analyse the environmental conditions for prokaryotic organisms with divergent adaptation strategies, to finally put these in context of some more general conclusions. We arrive at the result that the uniform value of $ {\mu}_{{\mathrm{H}}_2\mathrm{O}}^{\mathrm{cell}} $ stems from a situation where functional solubility and interactivity of the intracellular components are optimised through their generic intermolecular interactions of largely electrostatic origin. What is often referred to as a non-sustainable value of the intracellular osmotic pressure is actually a non-sustainable electrostatic interplay between the intracellular components.
Thermodynamic framework: measures of water chemical potential
The chemical potential of water, $ {\mu}_{{\mathrm{H}}_2\mathrm{O}} $ , is an important thermodynamic property in a variety of contexts. Hence, depending on application, several different ways have been developed to quantitatively account for this property. The most direct is to define the water activity $ (a $ w) as
where $ {\mu}_{{\mathrm{H}}_2\mathrm{O}}^{{}^{\circ}} $ is the chemical potential unity in pure water, where the activity $ a $ w is unity. This definition is analogous to the conventional definition of activities for solutes. It is practical to use Eq. (1) in situations where water is one of several components in similar abundance. The expression in Eq. (1), however, becomes somewhat cumbersome when one is dealing with aqueous solutions where water dominates. For an ideal solution of a solute of concentration cs, the van’t Hoff law implies
where Vw is the volume of a water molecule (≈3· 10−29 m3). Thus, we have for an ideal solution that the water activity is aw = exp(−c sVw). A more transparent way to express $ {\mu}_{{\mathrm{H}}_2\mathrm{O}} $ is, in this context, to introduce the osmotic pressure (π osm), which for an ideal aqueous solution is:
In textbooks, the osmotic pressure is usually introduced through specifying a measuring procedure. We find it more satisfactory to define the osmotic pressure in terms of the water chemical potential. Thus, we have
where the osmotic pressure is a ratio between chemical potential and volume with a dimensionality of energy per volume. It is in general misleading to associate the osmotic pressure with an actual physical pressure. However, energy per volume is dimensionally equivalent to a force per area and there are circumstances when diffusion of water molecules gives rise to an actual pressure difference as, for example, in the conventional textbook definition of the osmotic pressure. An important realisation from the definitions above is that the osmotic pressure is not simply related to the solute concentration as in Eq. (3), unless the solutions are ideal. In live cells, however, the solute concentrations are so high that the solute–solute interactions are substantial, giving a more complex relation between concentration and osmotic pressure. Under such crowded conditions it is common to specify the osmotic pressure by a concentration measure in molar units, the osmolarity c osm, defined as
An advantage of using osmolarity is that it eliminates the explicit temperature dependence for dilute systems. Physiological saline, that is, a solution of 0.154 M NaCl, illustrates the use of this concept. To a good approximation, the Na+ and Cl− ions dissolve separately in the aqueous medium, which give a total concentration of dissolved species of 0.308 M. Nonetheless, the inherent electrostatic interactions between these species to some extent remain: there is an attraction between anions and cations, and a repulsion between similarly charged ions. In addition, there is a short-range steric repulsion between all dissolved species. At c NaCl = 0.154 M, the contribution from the attraction dominates and this reduces the osmolarity to c osm = 0.285 M, corresponding to an osmotic pressure of 7.25 bar at 310 K. At higher concentrations, the counteracting repulsive term become progressively more important and this increases the osmotic pressure. For example, at 0.5 M NaCl typical for our oceans, the two effects nearly cancel and c osm ≈ 1.0 M.
A second biologically relevant medium where it is important to specify the chemical potential of water is in the air or, more generally, in a gas. This is usually accomplished by introducing the partial pressure of water pw according to
The first equality of Eq. (6) can in this context be considered as a definition of the partial pressure. It is then only for ideal gases that the partial pressures of the different components add up to the total pressure. The second equality is a definition of the relative humidity (RH), which is commonly used to express the chemical potential of water in the atmosphere. It follows from Eqs. (1) and (6) that the water activity and relative humidity are equal so that RH = aw. A virtue of Eq. (6) is that allows measurements of the water vapour pressure to be used as an accurate method for determining $ {\mu}_{{\mathrm{H}}_2\mathrm{O}} $ of a system in equilibrium with a gas phase (Markova et al., Reference Markova, Sparr, Wadsö and Wennerström2000). Another possibility to determine $ {\mu}_{{\mathrm{H}}_2\mathrm{O}} $ is the osmotic stress technique, provided that care is taken to have a proper reference system (Parsegian et al., Reference Parsegian, Rand and Rau2000). The relative humidity of air in equilibrium with physiological saline is 99.49% at 25°C. From a physiological perspective, this shows that relative humidity of around 50% found under normal indoor conditions in temperate zones is, in fact, very desiccating (Fig. 2). Another situation where one reaches very low values for the chemical potential of liquid water is at sub-zero temperatures. Below 0°C, aqueous solutions can only exist at equilibrium if they contain enough solutes to lower their water-chemical potential to that of solid ice; a phenomenon often referred to as freezing-point depression, ∆T fp. For temperatures close to zero, the depression of the chemical potential of liquid water, $ {\mu}_{{\mathrm{H}}_2\mathrm{O}}^{{}^{\circ}}, $ relative to that of ice $ {\mu}_{\mathrm{ice}}^{\circ } $ can be calculated, knowing the heat of fusion of water and
At lower temperatures it is also necessary to account for the difference in heat capacities between liquid water and ice. This more accurate relation is outlined in Table 1, where we also summarise the explicit relations between the different measures of the chemical potential of water. It follows that a physiological-saline solution or the typical cytoplasm of a live cell give just a moderate freezing-point depression of 0.53°C. Thus, if such a cell is put in a household freezer with a temperature of −18°C, it will experience severe desiccation. The ice will typically nucleate extra-cellularly and create a very low water-chemical potential in the environment. As demonstrated above, the usefulness of the different ways of characterising the chemical potential of water is determined by the circumstances. The focus of the current article is on the concentrated aqueous solution inside a live cell. We find then that the osmolarity (c osmol) is the most versatile way of quantifying the chemical potential of water. As pointed out below, we still do encounter situations where cells are exposed to environmental properties that are best described through other measures of the chemical potential of water (Table 1).
The osmotic pressure of different environments
The availability of water in natural habitats differs quite considerably. One limit is represented by rain- and melt-water. The water is here in essentially pure form, corresponding to a water activity of unity, zero osmotic pressure and c osmol = 0. In fresh-water lakes and rivers the osmotic pressure is slightly higher but still very low. As a river flows towards the sea it takes up more solutes gradually increasing the osmotic pressure, followed by an abrupt change when the water reaches the estuary. In the sea the salt concentration rises to around 0.5 M corresponding to an osmolarity of c osmol = 1 M. Even higher salt concentrations are finally reached below haloclines in pockets at very bottom of the oceans, and in terrestrial salt lakes (Oren, Reference Oren2002). In these biotopes, the water is typically saturated with salt at several molar, with osmolarities that often exceed 15 M (Fig. 2). For comparison, solid NaCl crystals are in equilibrium with water at a relative humidity of 75% (25°C), corresponding to an osmolarity of c osmol = 17 M. Although not always considered, even higher osmotic pressures challenge the organisms in air. Indoor air in temperate regions, with a temperature around 20°C, typically have a relative humidity in the range 40–60%, corresponding to osmolarities between 20 and 30 M. When the air temperature drops at constant partial pressure of water, the relative humidity increases as p sat decreases (Eq. (6)). The relative humidity then reaches unity at the dew point, but below 0°C the osmotic pressure increases again because pure water is present as ice. The water chemical potential in a standard household freezer at −18°C yields an osmotic pressure of c osmol = 10 M (Fig. 2). Under these cold conditions, liquid aqueous solutions can only exist if their osmotic pressure is increased, for example by the addition of salt or osmolytes. This is true also for the interior of an unprotected cell.
The evolutionary processes have resulted in a series of adaptation strategies that allow organisms to exist in all these environments. Single-cell organisms like prokaryotes face generally difficulties in environments of very high osmotic pressures, where they have to find ways to resist water loss. Conversely, they have to resist water ingress, excessive swelling and cell-wall rupture when the surrounding osmotic pressure is very low. The significance of the osmotic pressure in regulating bacterial growth is underlined by the fact that, apart from sterilisation, all general food preservation methods rely on creating a high osmotic pressure, be it through drying, freezing or adding salt or sugar. Complex organisms with protective skins or exo-skeletons are better equipped live under high-osmotic pressure conditions, but still require special adaptions to prevent desiccation. One challenge is the need to breathe. With respect to mammals, the air leaving the lungs is practically saturated with water vapour at body temperature. When this air is exchange for ambient air during breathing, there is a substantial water loss (Fig. 1). This loss is compensated by inhaled oxygen that is metabolised to in-body water. Intriguingly at 37°C there is a close balance between the two effects and the net result is that there is a minor loss of water during breathing. Under these conditions, even a 2–5°C increase in body temperature results in an imbalance that makes extra intake of water necessary, as exemplified by the increased need for water during a fever.
The source of the intracellular osmotic pressure
In a recent paper, we analysed the general features of the interactions between the cellular components of Escherichia coli (Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020). A striking feature of the cellular macromolecules is that the proteins, nucleic acids and lipid membranes all carry net-negative charge (Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020; Fig. 3). The role of this negative charge is to assure a molecular repulsion that keeps the cytosolic content suitably ‘fluid’ for function. As proof of principle, the diffusive motions of proteins in live cells display strong correlations with their net-negative surface-charge density, and when they are mutated to obtain a lower repulsive charge they tend to get stuck to their intracellular environment (Mu et al., Reference Mu, Choi, Lang, Mowray, Dokholyan, Danielsson and Oliveberg2017). This situation, which is observed in both bacterial and mammalian cells (Barbieri et al., Reference Barbieri, Luchinat and Banci2015; Mu et al., Reference Mu, Choi, Lang, Mowray, Dokholyan, Danielsson and Oliveberg2017; Ye et al., Reference Ye, Wu, Zheng, Jiang, Pielak, Liu and Li2019; Leeb et al., Reference Leeb, Yang, Oliveberg and Danielsson2020a, Reference Leeb, Sörensen, Yang, Mu, Oliveberg and Danielsson2020b), has led to the interpretation that the diffusive protein–protein interactions are under selective pressure and optimised to assure suitable transient-encounter times (Berg and von Hippel, Reference Berg and von Hippel1985; Schreiber and Fersht, Reference Schreiber and Fersht1996; Camacho et al., Reference Camacho, Weng, Vajda and DeLisi1999; Mu et al., Reference Mu, Choi, Lang, Mowray, Dokholyan, Danielsson and Oliveberg2017; Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020).
When two proteins collide, they will not elastically bounce apart as balls, but will transiently adhere by their close-range interactions (Fig. 3e). The thermal excitations will then repeatedly strive to dislocate the complex but, since most of these are small, the result will for some time be re-binding in slightly new positions. Eventually, there will be a thermal excitation large enough to fully dislocate the proteins, and the process is continued through binding with the next protein in the immediate vicinity. These thermal motions are referred to as Brownian surface diffusion and allow the proteins to search one another’s surfaces for putative specific binding sites (Fig. 3f). If the surface-search is too short, the protein can fail to recognise a binding partner, and, if it is too long, the protein will waste time by too extensively searching of non-partners and slow down the cellular machinery. The principal determinants for the protein-interaction potentials and, in turn, the surface-diffusion times, are the close-range dispersion force and the protein net charge (Fig. 3e). Here, the attractive dispersion force is rather indiscriminate, whereas the latter, typically repulsive, component is under detailed evolutionary control. The effective protein–protein interactions will also depend on the soluble ions of the intracellular medium through their screening of the electric fields, and on the protein concentration, which determine the average protein–protein separation. The concentration of small intracellular anions (Cl−, HCO3−) appears as relatively low, around 20 mM, compared to a much higher concentration of small cations (Na+, K+) around 150 mM (Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020). The reason for the mismatch is that most of the intracellular negative charges are carried by the net-negative proteins and other large macromolecules (Mu et al., Reference Mu, Choi, Lang, Mowray, Dokholyan, Danielsson and Oliveberg2017; Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020). As such, the cellular cytosol represents a poly-ion system with electrostatic properties that are quite distinct from a 150 mM NaCl solution having the same value of $ {\mu}_{{\mathrm{H}}_2\mathrm{O}} $ . Most notably, the cytosol is estimated to present a Debye screening length of around 2 nm compared to 0.8 nm in the 150 mM NaCl buffer (Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020), rendering the long-range electrostatic interactions stronger in the cytosol than in the external growth medium. This complexity calls for an explanation of the source of the cellular osmotic pressure of around 0.3 osmol, which cannot be accounted for by the protein and ion concentrations and Eq. (3). Commonly, the ‘missing’ osmotic pressure of bacterial cells is attributed to the accumulation of osmolytes in form of compatible solutes (Wood et al., Reference Wood, Bremer, Csonka, Kraemer, Poolman, van der Heide and Smith2001; Wood, Reference Wood2011, Reference Wood2015). However, the levels of compatible solutes in unstressed E. coli under optimal-growth conditions remain relatively low in the mM regime (Record et al., Reference Record, Courtenay, Cayley and Guttman1998). As an additional source of the intracellular osmotic pressure, we have pointed to the soluble proteins themselves (Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020). Because they occupy around 35% of the available cell volume and also exert significant electrostatic repulsion, their contribution to the osmotic pressure is bound to be substantially higher than estimated from ideal mixing at their concentration of 10–15 mM alone (Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020). The basic effect of the proteins’ repulsion is to restrict their available space, decreasing their translational entropy. Further protein-entropy loss is expected from reduction of the orientational degrees of freedom through the restrictive protein–protein correlations caused by local interaction anisotropies. Proteins are not electrostatically smooth, but show uneven surface-charge decorations that interfere with their tumbling. Both translation and orientation correlations result in strong positive deviations from the ideal-mixing estimate of the osmotic pressure, so that they resist cell-volume reduction by growing progressively stronger as the protein concentration increase. Even so, the magnitudes of these terms remain uncertain and need further exploration. For example, it is indicated from in-cell NMR experiments that the Brownian surface diffusion at any moment generates significant levels of transient close-range complexes, that is, dimers and trimers (Leeb et al., Reference Leeb, Yang, Oliveberg and Danielsson2020a), which to some extent decrease the effective protein concentration. The interplay between long-range electrostatic repulsion, medium-range dispersion interaction and short-range direct molecular interactions seem thus to generate complex correlations between translational and orientational degrees of freedom that are yet to be established. Omitting this additional complexity, we estimate the contribution from the protein–protein interactions to between 25 and 50% of the total intracellular osmotic pressure (SI). Although this estimate remains tentative, it serves to underline that the protein electrostatics plays an intrinsic role in the osmoadaptation of live cells that may also be larger than previously anticipated.
Functional limitations related to the intracellular water chemical potential
For cells to function efficiently, the network of metabolic processes is dependent on rapid diffusion of the molecular components. As the average diffusion time is proportional to the square of the displacement, it is favourable with short diffusion paths increasing the rate of metabolic transformations. Such short diffusion paths are naturally assured in concentrated systems like the cytoplasm, where the protein–protein separations are similar to the protein sizes (Vazquez, Reference Vazquez2010; Dill et al., Reference Dill, Ghosh and Schmit2011; Fig. 3b). A drawback of this crowded situation, however, is that it is intrinsically sensitive to perturbations. If the protein concentration becomes too low, the diffusion paths will be too long and the metabolic processes will critically slow down. If it becomes too high, the proteins will be arrested by short-range contacts leading to decreased diffusion constants and a seized up cellular machinery (Elowitz et al., Reference Elowitz, Surette, Wolf, Stock and Leibler1999; Konopka et al., Reference Konopka, Shkel, Cayley, Record and Weisshaar2006; Mika et al., Reference Mika, van den Bogaart, Veenhoff, Krasnikov and Poolman2010; Leeb et al., Reference Leeb, Sörensen, Yang, Mu, Oliveberg and Danielsson2020b). In other words, in crowded systems where the range of the repulsive interaction (λD) exceeds the distance to the near neighbours (h), any concentration-increase leads to decreased effective repulsion and higher aggregation propensity (Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020). For E. coli the optimum protein concentration seems to be at 30–35% of the available cell volume, with a matching osmotic pressure in the range of 0.3–0.4 osmol. Transfer of the E. coli cells to media with a lower or higher osmotic pressure will hence disturb this optimal protein concentration by swelling or shrinking. This, of course, is a situation that needs to be handled by all types of cells. Existence of a protein concentration optimum for cell metabolism was recently discussed by van den Berg et al. (Reference van den Berg, Boersma and Poolman2017), who refers to the phenomenon as crowding homeostasis. However, the intracellular electrostatic interplay is not determined by protein concentration alone, but also by the levels of small ions. If these are increased above the optimal values, the protein–protein repulsion will correspondingly decrease by screening and with similar risk for unspecific aggregation. Accordingly, the protein- and salt concentrations act in concert, and have both to be kept within certain functional limits. The similarity of the basic metabolic processes between different organisms thus explains the narrow range of the optimal osmotic pressure. Higher organisms have protective skins for keeping the internal conditions constant in environments of fluctuating osmotic pressure, but the naked bacteria and archaea have to meet the challenge in a more active way. Accordingly, the risk of drying out or excessively swell presents one of the most ubiquitous stress factors encountered by microorganisms in their habitats (Bremer and Kramer, Reference Bremer and Kramer2019).
Prokaryote adaptions to varying external osmotic pressures
The basic strategies of osmotic adaptation
Some primitive bacteria like Acholeplasma and Mycoplasma as well as Archaea have only a single lipid plasma membrane as protection against the medium (Gould, Reference Gould2018; Fig. 4a). This makes them relatively vulnerable to changes in the external osmotic pressure and they can only thrive under selected stable conditions. At environmental water chemical potentials higher than optimal for these organisms, water loss will rapidly increase the internal protein concentrations to levels where diffusion is severely hindered and unspecific aggregation interferes with the metabolic processes. The most common example of such a desiccating environment is the ocean, with a moderately high water potential of around 1 osmol (Fig. 2). One can identify three possible strategies for a cell to adapt to this situation. The simplest is to allow a higher salt content in the cell. An inevitable consequence of such a measure is that the electrostatic repulsion between the cell components becomes weakened, leading to larger tendency for unspecific aggregation and decreased metabolic rates (Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020). Given enough time, however, the organism can adapt the genome to produce more negatively charged proteins, but only to a certain level as the electrostatic screening becomes more or less complete at salt concentrations above 0.6 M. This conclusion has a conspicuous exception in brine-adapted Halobacteria, which is discussed in a separate section below. The second possibility for the cell to cope with elevated external water chemical potentials is to import or synthesise compensating osmolytes (Wood et al., Reference Wood, Bremer, Csonka, Kraemer, Poolman, van der Heide and Smith2001; Wood, Reference Wood2011, Reference Wood2015). Representative examples of compatible solutes employed by bacteria are proline, glycine betaine, carnitine, proline betaine, dimethylsulfoniopropionate, ectoine/hydroxyectoine, trehalose and glucosylglycerol (Bremer and Kramer, Reference Bremer and Kramer2019). A benefit of this strategy is that mixtures of water and osmolytes yield a much smaller perturbation of the functional electrostatic interactions than import of 1:1 salts. The third adaptation strategy is basically ‘mechanical’, where free energy is stored by stretching or bending the cell membrane (Liu et al., Reference Liu, Stehammar, Wennerström and Sparr2022). When the cell volume changes as water enters or leaves the cell, the cell membrane has to adjust by stretching or buckling, respectively. There is consequently a contribution to the water chemical potential from this mechanical response. The mechanism is best exemplified for fresh-water environments, where the external osmotic pressure of water is lower than optimal. By simply allowing the water ingress to physically stretch the cell wall, the cell can build up a compensating internal pressure. This pressure difference between the cytosol and the environment is referred to as the turgor pressure, p turgor (Rojas and Huang, Reference Rojas and Huang2018). The turgor pressure provides a contribution to $ {\mu}_{{\mathrm{H}}_2\mathrm{O}} $ in the cell and, thus, also to the osmotic pressure (Eq. (4)). We can write this intracellular osmotic pressure as a sum $ {\pi}_{\mathrm{cell}}\hskip0.35em =\hskip0.35em {\pi}_{\mathrm{mol}}+{p}_{\mathrm{turgor}} $ . At equilibrium with an external medium of osmotic pressure $ {\pi}_{\operatorname{ext}.} $ we have
In pure melt-water, where $ {\pi}_{\operatorname{ext}.} $ is negligible, a cell with an internal molecular osmolarity of 0.3–0.4 osmol attains thus a turgor pressure of 7.5–10 bar. The presence of a turgor pressure leads to a tension or negative lateral pressure, p lat, stretching the cell wall. For a spherical cell of radius R with single cell wall of thickness lh, the lateral pressure is given by
Given the material of the encapsulation, a cell can thus withstand a higher turgor pressure the thicker the protecting wall. For example, the around 30 nm thick peptidoglycan wall of the gram-positive bacterium Bacillus subtilis can resist turgor pressures in excess of 10 bar (Whatmore and Reed, Reference Whatmore and Reed1990; Misra et al., Reference Misra, Rojas, Gopinathan and Huang2013; Fig. 4b).
Environmental adaptation 1: the ocean
The ocean has an osmolarity of around 1 M caused by the high NaCl concentration. This is substantially higher than the optimal value for bacteria. The mechanisms for adjusting to an increased osmotic pressure are nicely illustrated by the extensively studied gram-negative E. coli bacterium (Rojas et al., Reference Rojas, Theriot and Huang2014). In an optimal medium of $ {c}_{\mathrm{osmol}}^{\operatorname{ext}.} $ = 0.3 M, E. coli shows a maximum multiplication rate of 1 h and an internal turgor pressure of ≈1 bar (Cayley et al., Reference Cayley, Guttman and Record2000; Fig. 5a). Upon abrupt transfer of the E. coli cells from optimal conditions to a desiccating medium of $ {c}_{\mathrm{osmol}}^{\operatorname{ext}.} $ = 1 M, the first response is shrinkage and stalled growth (Fig. 5a, b). The rapid efflux of water under these hyperosmotic conditions causes the intracellular concentration of proteins and other solutes to increase to physiologically non-sustainable values. In line with the arguments presented above, we consider this state as aggregated and functionally arrested. Following the initial collapse of the cytoplasm, however, the E. coli cells allow import of electrolyte from the medium to restore the cytosolic volume and lowering the protein concentration (Record et al., Reference Record, Courtenay, Cayley and Guttman1998; Cayley et al., Reference Cayley, Guttman and Record2000; Wood, Reference Wood2015). The metabolism now increases to the extent that some growth occurs. Because the increased levels of internal salt excessively screen the electrostatic protein–protein interactions, however, this growth is clearly lower than under optimal conditions. In the next stage of adjustment (Wood, Reference Wood2011, Reference Wood2015), the cells synthesise or import osmolytes (Cayley and Record, Reference Cayley and Record2003), combined with expulsion of the transiently imported electrolyte (Cayley et al., Reference Cayley, Guttman and Record2000; Fig. 5a, b). Although this adjustment brings back the intracellular electrostatic interactions and cellular function to satisfactory levels, it comes with the cost of increased metabolic energy. Because of the leakage of osmolytes across the plasma membrane, the process of keeping the osmolyte concentration stable becomes increasingly energy intensive the higher the osmotic pressure. This means that the E. coli cells cannot sustain growth in high salt concentrations, despite that they have two membrane barriers to reduce the diffusive osmolyte loss.
Environmental adaptation 2: fresh water
In fresh water the osmotic pressure is very low and bacterial cells experience influx of water during osmotic down-shock. They must respond instantaneously to prevent the membranes from bursting (Fig. 5c). This emergency response involves the opening of various types of mechano-sensitive channels, that act as millisecond-release valves to rapidly dump intracellular solutes into the external medium (Bremer and Kramer, Reference Bremer and Kramer2019). For the gram-negative bacterium E. coli cells, the result is a turgor-pressure increase that is contained within an acceptable level of around 3 bar, but with the penalty of diluted intracellular content and compromised growth (Fig. 5c). The gram-negative bacteria have double lipid membranes that can take up the turgor pressure (Fig. 6). By regulating the peptidoglucan content in the periplasmic space between the membranes it is possible to divide the pressure drop into two components p 1turgor and p 2turgor
where $ {\pi}_{\mathrm{mol}}^{\mathrm{i}} $ refers to the molecular osmotic pressure in the periplasmic space.
Gram-positive bacteria with thick outer peptidoglucan cell walls (Fig. 6) typically tolerate higher turgor pressures than their gram-negative relatives, and can possibly sustain osmotic down-shock without dumping of cytosolic material and with just marginal effect on the metabolic function. Underlining the selective advantage of this trait, the gram-positive bacteria are found in higher proportions in fresh water than in the sea (Cabello-Yeves and Rodriguez-Valera, Reference Cabello-Yeves and Rodriguez-Valera2019). Gram-positive bacteria are also abundant in soil where sudden osmotic down-chock is frequently induced by both rain and flooding. Finally, marine cyanobacteria that sustain lower turgor pressure than their fresh-water relatives, take advantage of the situation by resorting to thinner cell walls (Walsby, Reference Walsby1986). This trade-off indicates that the high-turgor situation in fresh water is metabolicly costly and cannot easily be avoided by other means, consistent with the notion that adaptation of microorganism across marine- and fresh-water environments is evolutionary demanding (Eiler et al., Reference Eiler, Mondav, Sinclair, Fernandez-Vidal, Scofield, Schwientek, Martinez-Garcia, Torrents, McMahon, Andersson, Stepanauskas, Woyke and Bertilsson2016; Cabello-Yeves and Rodriguez-Valera, Reference Cabello-Yeves and Rodriguez-Valera2019). For a comprehensive review of the response of bacteria to osmotic up- and down-shocks, including detailed descriptions of the often mechano-sensitive ion/osmolyte channels controlling cross-membrane transport, see Bremer and Kramer (Reference Bremer and Kramer2019).
Environmental adaptation 3: the Dead Sea
In the Dead Sea and other salt-lakes as well as in haloclines on the ocean floor, the liquid water is salt saturated resulting in a very high osmotic pressure. Above, we have argued that a generic electrostatic repulsion between cellular components is necessary to prevent aggregation and stalling the metabolic processes. There is a clear limit to which external osmotic pressure most bacteria can withstand, based on the mechanisms discussed above. Salt, and also sugar, in high concentrations yielding osmotic pressures above 2 osmol act as effective food preservatives by hindering bacterial growth. These methods have been around for a very long time, illustrating the fact that there are basic obstacles for bacteria to adjust to such high osmotic pressures even in an evolutionary perspective. Yet there exist living organisms in the Dead Sea. In our previous paper we concluded that the organisation principle of these organisms differs in an important aspect from the common picture. The osmotic balanced is simply maintained by having an internal salt concentration similar to that of the medium. At such salt contents the Debye screening length is negligible and the repulsive electrostatic double layer repulsion present in the cells of other organisms is not operative. Even so, it was recently found (Gebbie et al., Reference Gebbie, Dobbs, Valtiner and Israelachvili2015; Kjellander, Reference Kjellander2016; Smith et al., Reference Smith, Lee and Perkin2016; Gebbie et al., Reference Gebbie, Smith, Dobbs, Lee, Warr, Banquy, Valtiner, Rutland, Israelachvili, Perkin and Atkin2017; Lee et al., Reference Lee, Perez-Martinez, Smith and Perkin2017; Kjellander, Reference Kjellander2018) that at these very high salt contents a different repulsive electrostatic mechanism emerge from ion–ion correlations. However, this is weaker in magnitude so that it requires a major increase of the charge of proteins for the system to function. There are thus major qualitative differences in the genomes of halophiles relative to other bacteria and their proteins have on average a ten times higher charge densities (Gunde-Cimerman et al., Reference Gunde-Cimerman, Plemenitas and Oren2018; Fig. 4d). In this regime, the screening length increases with increasing concentration (Lee et al., Reference Lee, Perez-Martinez, Smith and Perkin2017) and there is an eclipse region around 1 M salt where the electrostatic repulsion undergoes a minimum (Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020). This is also the concentration region where salt acts as a preservative since bacterial growth is hindered by internal aggregation of proteins and other cellular components.
Conclusions
The chemical potential of water provides an essential characterisation of the environment of living organisms of equal significance as the temperature. We argued that, for most organisms, cellular function is optimised when the molecular component to the osmotic pressure is in the range 0.25–0.4 osmol. This optimum is a compromise between the advantage of having short diffusion paths, whilst the diffusion process is not extensively hindered by unspecific aggregation. At physicochemical level, this balance is maintained by having negatively charged proteins, nucleic acids and lipids in an intracellular medium with low concentration of electrolytes to reduce the screening effect. A main component to the osmotic pressure is thus the soluble proteins and their counterions. We stress here that this close interrelation between protein concentration and the intracellular osmotic pressure means that the two quantities cannot be varied independently. In a growing cell, the increased protein concentration yields an increased osmotic pressure, which in turn can result in a stretching of the membrane. Conceivably, this coupling involves a basic signal for coordinating protein synthesis with lipid synthesis, so that the protein concentration can be kept constant.
Upon exposure to external environments of different osmotic pressures, organisms have to find protective measures. Multicellular organisms, have the ability to maintain an internal water chemical potential close to that of the cellular optimum, which generally corresponds to physiological saline with an osmotic pressure of 0.285 osmol. It is our conclusion that this value is a result of an evolutionary optimization process. The cells of organisms like bacteria and archaea are typically in direct contact with the external medium and respond thus more critically to osmotic pressure changes. The simplest of these unicellular organisms are surrounded by just a single plasma membrane, making them relatively vulnerable and susceptible to thrive only under stable conditions. A major evolutionary step was when gram-positive and gram-negative bacteria developed complex cell wall structures to cope with non-optimal and varying values of the water chemical potential of their environment. These more advanced bacteria can handle low external water chemical potentials by building up an internal turgor pressure. Conversely, when the external water chemical potential exceeds that of the cellular optimum, the bacterial response is to import or synthesise small osmolytes to maintain cell volume, internal protein concentrations as well as electrostatic screening effects within viable limits.
A most remarkable exception to the general rule of optimal cellular osmotic pressures of 0.3–0.4 osmol is found in halophilic arcaea. These organisms multiply in aqueous media saturated in salt, having an osmolarity >10 osmol. To handle this situation their internal electrolyte concentrations, mainly comprising NaCl and KCl, are raised to the levels of ionic liquids. We have previously suggested that these organisms rely on a fundamentally different electrostatic mechanism for maintaining colloidal stability (Wennerstrom et al., Reference Wennerstrom, Vallina Estrada, Danielsson and Oliveberg2020), ensuring suitably dynamic protein motions in the cell. Even though the basic metabolic processes in these halophiles are the same as in other cells, the difference in the character of the medium requires a major genomic adaption to alter the molecular properties that govern the protein–protein and protein-nucleic acid interactions. Organism evolution seems thus not only to rely on specific interactions and detailed metabolic pathways, but also on the physicochemical character of the proteomes as a whole. Intriguingly, the latter optimisation involves mainly the hypervariable parts of the protein surfaces that are generally considered non-conserved, pointing to a second layer of evolutionary constraints that remains to be better understood.
Supplementary Materials
To view supplementary material for this article, please visit http://doi.org/10.1017/qrd.2022.3.
Acknowledgements
We thank Professor Klas Flärd (Lund University), Elloy E. Vallina (Stockholm University) and Jens Danielsson (Stockholm University) for valuable discussions, and the Knut and Alice Wallenberg Foundation (2017-0041) and the Swedish Research Council (2017-01517) for financial support.
Comments
Comments to Author: This report accounts for physicochemical properties of cells making generalized observations focused on osmotic pressure and temperature as universal thermodynamic parameters affecting cell survival in physiological environment, evolutionary adaptation as well as the effect on cellular metabolic function under crowding conditions. This is a nice comprehensive analysis of a topic that is central in cell biology but remains poorly investigated where existing experiments measuring turgor pressure show conflicting results making conclusions vague. Thus, this work is much needed. I therefore recommend publication after minor revision. There are a several suggestions that I would like the authors to consider in their presentation.
1. Osmotic pressure and temperature are coupled through equation of state which authors provide in Eq. 3 for ideal aqueous solutions. Paper provides example of changes in the water chemical potential in the cytoplasm coupled to the freezing point depression. I am curios how the osmotic pressure of thermophilic cells is impacted by extremely high temperatures?
2. I wonder if the reverse process of changes in the intercellular crowding, e.g. during DNA replication in bacterial cells or viral replication in cells, affects the cellular temperature which in turn should have major effect on the metabolic function of cellular enzymes.
3. Authors are discussing the net negative surface charge of cellular components (DNA, proteins and lipids) to prevent aggregation and maintain fluidity. It can be noted however, that in highly crowded environment, negative surface-to-surface charge can create electrostatic friction, having the opposite effect on fluidity. This for instance is observed in tightly packaged DNA phase in bacteriophages, where electrostatic DNA-DNA friction prevents release of viral genome from phage during infection. Could similar scenarios be present in the cell under strong crowding?
4. There is a discussion of optimum molecular crowding effect on cell’s metabolic function. Indeed, tt has been shown that crowding speeds up enzymatic processes (e.g. nuclease digestion of DNA) by bringing enzymes closer to the substrate and reducing diffusion times. In this instance, authors refer to higher aggregation propensity. It is also mentioned in the ms that “the intracellular electrostatic interplay is not determined by protein concentration alone, but also by the levels of small ions.”, where also small ions contribute to the osmotic pressure. Indeed, the concepts of crowding and osmotic pressure are often misinterpreted in the literature and there is a lot of confusion. A study “Osmotic stress, crowding, preferential hydration, and binding: A comparison of perspectives”, by Parsegian et al, PNAS 2000 discusses this. It would be helpful if authors could discuss the differences between crowding and osmotic pressure and also discuss the hydration interactions with the specific examples in cells that they are reviewing.
5. While, authors focus mainly on bacterial cells, it would be interesting to also include in the discussion the effect of tightly condensed DNA on osmotic pressure of cell nuclei in eukaryotic cells. Other interesting scenarios where osmotic pressure plays a central role involve dividing cancer cells as well as rapid viral replication in cells - all strongly affected by crowding.
6. Authors discuss basic mechanical adaptation of cells to the increased osmotic pressure resulting in stretching or bending of the cell membrane. However, recent studies suggest that there are molecular mechanism actively affecting cytoskeleton during mechanical stress, resulting in mechano-protection preventing membrane stretching which could lead to cell rupture. E.g. mechanosensory mechanisms to protect the genome from damage and maintain tissue homeostasis, see Nava et al., 2020, Cell 181, 800-817. This could perhaps be mentioned in this context.
7. Authors are discussing the contribution of the protein-protein pair interaction to the osmotic pressure (with details in SI). This is an interesting aspect. London forces have been shown to promote aggregation of similar charged proteins or DNA under specific solution conditions affected by changes in dielectric permittivity. Is it expected that such pair interactions can lead to aggregation of cellular components under osmotic pressure changes in the cell with specific biological functionality?